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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data quality management, governance frameworks, and data analysis, with proficiency in SQL, Python, and data quality tools. Strong ability to collaborate with stakeholders and document data processes effectively.
Highest-signal resume keywords
Data Quality ManagementData Governance FrameworksSQL ProficiencyData Quality ToolsInsurance Industry Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Quality AssessmentData ProfilingRoot Cause AnalysisData Lineage DocumentationData Standards DefinitionData AnalysisData ValidationData ClassificationData MappingData Reporting
Soft Skills
CollaborationCommunicationProblem-SolvingChange ManagementStakeholder Engagement
Tools & Technologies
Informatica DQCollibraTalendMicrosoft ExcelData Catalog Tools
Certifications & Qualifications
CDMP
Industry Keywords
ClaimsUnderwritingFinancial ServicesData GovernanceRegulatory ComplianceData StewardshipP&C InsuranceMaster Data ManagementData OwnershipBusiness Glossary
Tech Stack
Tools & technologiesInformaticaPythonSQL
About the role
Key responsibilities & impact- Profile, assess, and document data quality issues across Claims and Underwriting data domains.
- Define, implement, and monitor data quality rules, thresholds, and KPIs.
- Support the development and rollout of the enterprise data governance framework including policies, standards, and business glossary.
- Collaborate with business and IT stakeholders to identify data owners, stewards, and accountability structures.
- Maintain data lineage documentation and contribute to the data catalog.
- Conduct root cause analysis on data quality failures and track remediation progress.
- Prepare data quality dashboards, scorecards, and status reports for leadership.
- Participate in working sessions with stakeholder's Claims and Underwriting teams to align on data definitions and business rules.
- Support change management and training activities related to governance adoption.
Requirements
What you’ll need- Bachelor's degree in Information Management, Data Science, Statistics, Computer Science, or a related field
- 3–6 years of experience in data quality, data governance, or data analytics roles
- Certification in data management (e.g., CDMP) or relevant data governance tools
- Prior experience in insurance, financial services, or highly regulated industries
- Experience working in client-facing or consulting environments
- SQL – proficiency in querying, profiling, and validating large datasets
- Python or R – for data analysis, quality checks, and reporting
- Microsoft Excel – advanced use for data analysis and reporting
- Data quality tools – Informatica DQ, Collibra, Talend, or equivalent
- Data catalog and metadata management tools
- Solid understanding of data governance frameworks (DAMA-DMBOK preferred)
- Experience defining data standards, policies, and business glossaries
- Familiarity with data stewardship, ownership, and accountability models
- Knowledge of data classification, lineage, and master data management (MDM)
- Awareness of regulatory and compliance requirements for insurance/financial data
- Insurance industry experience – Claims and/or Underwriting strongly preferred
- Understanding of Claims lifecycle and Underwriting data structures
- Familiarity with P&C insurance data models
- Experience conducting data profiling and root cause analysis
- Ability to document data flows, mappings, and business rules clearly
- Track record of working across business and IT stakeholder groups to resolve data issues
Benefits
Comp & perks- Professional development opportunities
- Flexible working arrangements